Nguyen H. H., Ho B. H., Lai H. P., Tran H. T., Banuls Anne-Laure, Prudhomme J., Le H. T. (2022). A lightweight keypoint matching framework for insect wing morphometric landmark detection. Ecological Informatics, 70, p. 101694 [9 p.]. ISSN 1574-9541.
Titre du document
A lightweight keypoint matching framework for insect wing morphometric landmark detection
Nguyen H. H., Ho B. H., Lai H. P., Tran H. T., Banuls Anne-Laure, Prudhomme J., Le H. T.
Source
Ecological Informatics, 2022,
70, p. 101694 [9 p.] ISSN 1574-9541
Geometric morphometrics has become an important approach in insect morphology studies because it capitalizes on advanced quantitative methods to analyze shape. Shape could be digitized as a set of landmarks from specimen images. However, the existing tools mostly require manual landmark digitization, and previous works on automatic landmark detection methods do not focus on implementation for end-users. Motivated by that, we propose a novel approach for automatic landmark detection, based on visual features of landmarks and keypoint matching techniques. While still archiving comparable accuracy to that of the state-of-the-art method, our framework requires less initial annotated data to build prediction model and runs faster. It is lightweight also in terms of implementation, in which a four-step workflow is provided with user-friendly graphical interfaces to produce correct landmark coordinates both by model prediction and manual correction. The utility iMorph is freely available at https://github.com/ha-usth/InsectWingLandmark, currently supporting Windows, MacOS, and Linux.
Plan de classement
Sciences fondamentales / Techniques d'analyse et de recherche [020]
;
Entomologie médicale / Parasitologie / Virologie [052]
;
Informatique [122]
